دانلود رایگان مقاله زمینه زندگی کاری به عنوان پیش بینی بهداشت شغلی

ABSTRACT

Background/aim: Occupational health largely depends on the perceived fit between the employee’s abilities and workplace demands/factors. The Areas of Worklife Scale (AWS) specifies six areas that are particularly relevant in this respect: workload, control, reward, community, fairness, and values. The current article aimed at investigating the factorial structure and the criterion validity of the German translation of the AWS. Methods: Data were collected in two samples. In study 1, 1455 public service workers were surveyed using the six areas of worklife and well-being. In study 2, to investigate the well-established relationship between the AWS and burnout, the scale was administered to a nursing sample (N = 443). Results: High internal consistencies for all six scales were obtained in both studies. Exploratory as well as confirmatory factor analysis replicated the theoretically assumed six scale structure of the AWS. Evidence of criterion validity was found by multiple linear regression analysis with well-being as dependent measure (study 1). SEM analyses supported the hypothesized relationships between the six AWS dimensions and burnout (study 2). As predicted by Leiter and Maslach (2004, 2009), only some areas were directly associated with the health-related outcomes (well-being and burnout). In line with previous work, workload and values proved to be the most critical areas of worklife. Conclusions: The six areas of worklife have been shown to be significant predictors of health-related outcomes. Based on the current studies, the German translation of the AWS can be proposed as a reliable and valid instrument to identify and specify critical work-related areas for occupational health.

4. General discussion

This article aimed at investigating the psychometric properties and the predictive criterion validity of the German translation of the Areas of Worklife Scale (AWS). Considering reliability, in both studies all AWS dimensions showed good to excellentinternal consistency. In study 1, exploratory factor analysis showed a good correspondence of the AWS items and the six hypothesized scales, pointing to good construct validity. Regarding criterion validity, in study 1 regression analyses revealed that the AWS dimensions explained a significant amount of variance for subjective wellbeing. In this line, study 2 found an association between the six areas of worklife and the three dimensions of the MBI. SEM supports the assumption by Leiter and Maslach (2004, 2009) that not all AWS dimensions have direct relationships with each aspect of burnout, butthatthere is rather a more complex interplay between the six areas of worklife. Taken together, this article found substantial evidence for the reliability and validity of the German version of the AWS.